Computer Vision | Multimodal Learning
Repositories
Vishu26/Optimization-Algorithms
Various Convex Optimization Algorithms
Vishu26/Large-Scale-Semantic-Segmentation-with-MAML
Memory Efficient Large Scale Semantic Segmentation with Model Agnostic Meta Learning with Tensorflow. It uses SegNet Architecture for classification.
Vishu26/rshf
Remote sensing pretrained models easy loading using huggingface -- PyTorch
Vishu26/RANGE
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo Embeddings (CVPR 2025)
Vishu26/Vision-Inversion
Vishu26/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Vishu26/DAWoc
Project for DAWoC - Neural Machine Translation with Attention Mechanism
Vishu26/Deep-Learning---Keras
Vishu26/ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Vishu26/Remote-Sensing-RVSA
The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"
Vishu26/Self-Driving-Car
Deep Optimized Q learning
Vishu26/Non-Convex-Optimization-on-Sphere
Mirror Descent on Sphere Geometry
Vishu26/Motion-Tracker
Motion detection algorithm based on Σ-Δ background estimation
Vishu26/sinr
Spatial Implicit Neural Representations for Global-Scale Species Mapping - ICML 2023
Vishu26/torch-harmonics
Differentiable Spherical Harmonic transforms in PyTorch
Vishu26/keras-dcgan
Keras implementation of Deep Convolutional Generative Adversarial Networks
Vishu26/Android-Launcher-for-Elders
Vishu26/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Vishu26/Diverse-Bayesian-Active-Learning-with-Simulated-Annealing
Active Learning with Keras
Vishu26/Neural-Field-MIS
Vishu26/vit-gan
Vishu26/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Vishu26/awesome-contrastive-self-supervised-learning
A comprehensive list of awesome contrastive self-supervised learning papers.
Vishu26/pytorch_active_learning
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
Vishu26/brainspy-smg
A python package created and maintained by the Brains team of the NanoElectronics group at the University of Twente for (mostly) automated generation of surrogate models of boron-doped silicon chips, supporting its creation throughout its development life-cycle.
Vishu26/awesome-active-learning
A curated list of awesome Active Learning
Vishu26/WNet
Vishu26/Min-Max-Cost-Effective-Multi-Armed-Bandit-Active-learning
This study develops a generalized cost for semantic labelling of images. The goal of active learning is to reduce the cost of labelling while maximizing the informativeness of acquired images. This is achieved in a multi armed bandits fashion.
Vishu26/keras
Deep Learning for humans